Understanding and Reducing AI Risk in Modern Applications

AI security risk doesn't come from single weaknesses but emerges when components across multiple layers (infrastructure, models, data, and applications) interact together. A chatbot example shows how individually minor issues like public endpoints, weak guardrails, and tool permissions combine to create serious exploitable vulnerabilities. Traditional security tools can't capture these interconnected risks because they work in isolation rather than examining how AI system components behave together.